Scholar
Reza Babanezhad
Google Scholar ID: KLrwPsgAAAAJ
Samsung AI lab
Citations & Impact
Citations
429
H-index
10
i10-index
10
Publications
20
Co-authors
23
list available
Contact
Publications
Resume (English only)
Academic Achievements
- Current resume available via link provided.
Research Experience
- Currently a research scientist at Samsung SAIT AI Lab Montreal. Previously, a PhD student at the University of British Columbia, focusing on stochastic variance reduced methods for convex optimization.
Education
- PhD from the University of British Columbia under the supervision of Mark Schmidt, where he was a member of the Laboratory for Computational Intelligence. His PhD research was mainly about stochastic variance reduced methods for convex optimization. Post-doc at Mila with Simon Lacoste-Julien.
Background
- Main research interests in machine learning are stochastic optimization algorithms for ML models, min-max problem, and deep learning. Current projects mainly focus on: Stochastic optimization algorithms with variance reduction, Min-Max game optimization for deep generative models, Generalization of optimization methods, Reinforcement learning.
